Triple

T16403995
Position Surface form Disambiguated ID Type / Status
Subject Saint Radboud E398376 entity
Predicate name P16 FINISHED
Object Radboud E398376 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Radboud | Statement: [Saint Radboud, name, Radboud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radboud
Context triple: [Saint Radboud, name, Radboud]
  • A. Saint Radboud chosen
    Saint Radboud was a 9th–10th century bishop of Utrecht venerated as a Christian saint, known for his scholarship and missionary work in the Low Countries.
  • B. Vita Willibrordi
    Vita Willibrordi is a Latin hagiographical biography of Saint Willibrord, traditionally attributed to the Anglo-Saxon scholar Alcuin of York.
  • C. Lambertus
    Lambertus is a Latinized given name historically used in European contexts, particularly in religious and scholarly settings.
  • D. Leiden Willeram
    Leiden Willeram is an early medieval biblical commentary and one of the most important surviving texts in Old Dutch, notable for its role in the history of the Dutch language.
  • E. Norbertus
    Norbertus is a Latinized form of the given name Norbert, historically used in ecclesiastical and scholarly contexts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d12dc08190a5b497692b667ed7 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457baed48190b559af7c0ac2711d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.